Candidate processing workflow
Hand/body keypoints and tool/object detection → spatiotemporal relations → rules/temporal model
JIVISION offers project development and technical assessment for Hand, Tool and Object Interaction-Stage Recognition. Scope: Pick, place, twist, plug/unplug and operation-stage recognition.
Pick, place, twist, plug/unplug and operation-stage recognition
Recognize authorized station actions without inferring intent or competence; cover pace and handedness across operators.
These are candidate implementation paths. Establish a baseline on real samples, then select or combine methods for imaging, speed and deployment constraints. Model names do not imply measured project results.
Hand/body keypoints and tool/object detection → spatiotemporal relations → rules/temporal model
Provide robot/controller models, grippers/tools, parts or CAD, coordinate frames, working volume, camera mounts, control periods and interlock interfaces.
Interaction events, step states, deviation alerts and replay
Specify input formats, output fields, coordinates/units, error states, versions and invocation methods. Define review and failure handling. The statement of work determines the exact scope of source code, executables, model files or analysis reports.
Step F1; missed-step rate; false calls per hour; cross-operator performance
Test visual localization error, calibration error, grasp/alignment success and end-to-end cycle time separately, including occlusion, empty scenes, changeovers and communication loss.
These are measures to agree and test, not achieved-performance claims. Freeze samples, reference truth, thresholds and hardware/software versions before acceptance; report subgroup results and failures, identifying under-sampled conditions as uncovered.
Agree targets, stations, inputs and responsibilities in a statement of work, separating required and excluded conditions.
Use representative samples to test critical risks, document feasibility/failures and scope the next-stage estimate.
Implement agreed functions and interfaces with configuration/change records; use offline replay before authorized device or site integration.
Retest against individual measures and hand over contracted artifacts with known limits; manage maintenance, expansion and changeovers as subsequent work packages.
Vision output does not replace independent safety control. Responsible teams must verify robot motion, tooling and line interlocks before integrated testing.
Candidate technologies are not license clearance. Check code, model weights, training data and dependency versions separately. Replace, license or exclude components unsuitable for the intended commercial delivery. Customer data is not used for public training by default.
Pick, place, twist, plug/unplug and operation-stage recognition. Deliverables: Interaction events, step states, deviation alerts and replay
Recognize authorized station actions without inferring intent or competence; cover pace and handedness across operators.
Task-specific measures: Step F1; missed-step rate; false calls per hour; cross-operator performance. Test visual localization error, calibration error, grasp/alignment success and end-to-end cycle time separately, including occlusion, empty scenes, changeovers and communication loss.
After reviewing samples for pick, place, twist, plug/unplug and operation-stage recognition, equipment conditions and interfaces, scope validation, development, deployment and acceptance separately. Data coverage, site changes and delivery rights affect the estimate; no fixed performance or schedule is promised before assessment.
Service ID: D14 · Hand, Tool and Object Interaction-Stage Recognition
Describe available samples, equipment and target measures. Agree confidentiality and permissions before transferring sensitive or personal data through an approved channel.
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